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2020 – today
- 2025
[j11]Zhi-Huang Lin, Chun-Yang Zhang
, Xue-Ming Lin, Huibin Lin, Gui-Huang Zeng, C. L. Philip Chen:
Low-Overlap Point Cloud Registration via Correspondence Augmentation. IEEE Trans Autom. Sci. Eng. 22: 9363-9375 (2025)- [j10]Huibin Lin, Chun-Yang Zhang, C. L. Philip Chen:
Contextual Distribution Alignment via Correlation Contrasting for Domain Generalization. IEEE Trans. Circuits Syst. Video Technol. 35(4): 3619-3632 (2025) - [c12]Yuena Lin, Yiyuan Wang, Gengyu Lyu, Yongjian Deng, Haichun Cai, Huibin Lin, Haobo Wang, Zhen Yang:
Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary. ICLR 2025 - 2024
- [j9]Zhongze Liu, Yicong Kuang, Fei Jiang, Yue Zhang, Huibin Lin, Kang Ding:
Weighted distributed compressed sensing: An efficient gear transmission system fault feature extraction approach for ultra-low compression signals. Adv. Eng. Informatics 62: 102833 (2024) - [j8]Huibin Lin, Hai-Tao Fu, Chun-Yang Zhang, C. L. Philip Chen:
A new robust contrastive learning for unsupervised person re-identification. Int. J. Mach. Learn. Cybern. 15(5): 1779-1793 (2024) - [j7]Jiang-Xing Cheng, Huibin Lin, Chun-Yang Zhang, C. L. Philip Chen:
Unsupervised Domain Adaptation on Point Clouds via High-Order Geometric Structure Modeling. IEEE Trans. Artif. Intell. 5(12): 6121-6133 (2024) - [j6]Shunxin Xiao, Huibin Lin, Jianwen Wang, Xiaolong Qin, Shiping Wang:
Multi-Relation Augmentation for Graph Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3614-3627 (2024) - [c11]Yuan Zheng, Weihua Li, Zhuyun Chen, Huibin Lin, Guolin He:
Fault Prior-guided White-box Model towards Interpretable Discriminant Feature Extraction. I2MTC 2024: 1-6 - 2023
- [j5]Weihua Li, Jingke He, Huibin Lin, Ruyi Huang, Guolin He, Zhuyun Chen:
A LightGBM-Based Multiscale Weighted Ensemble Model for Few-Shot Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [j4]Shunxin Xiao, Huibin Lin, Conghao Wang, Shiping Wang, Jagath C. Rajapakse:
Graph Neural Networks With Multiple Prior Knowledge for Multi-Omics Data Analysis. IEEE J. Biomed. Health Informatics 27(9): 4591-4600 (2023) - [j3]Huibin Lin, Chun-Yang Zhang, Shiping Wang, Wenzhong Guo:
A Probabilistic Contrastive Framework for Semi-Supervised Learning. IEEE Trans. Multim. 25: 8767-8779 (2023) - 2022
- [j2]Fei Jiang, Kang Ding, Guolin He, Huibin Lin, Zhuyun Chen, Weihua Li:
Dual-Attention-Based Multiscale Convolutional Neural Network With Stage Division for Remaining Useful Life Prediction of Rolling Bearings. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j1]Zhongze Liu, Kang Ding, Huibin Lin, Zhuyun Chen, Weihua Li:
A Reweighted Overlapping Group Shrinkage Method for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - 2021
- [c10]Huibin Lin, Shiping Wang, Zhanghui Liu, Shunxin Xiao, Shide Du, Wenzhong Guo:
FMixAugment for Semi-supervised Learning with Consistency Regularization. PRCV (2) 2021: 127-139 - 2020
- [i6]Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu:
Hodge and Podge: Hybrid Supervised Sound Event Detection with Multi-Hot MixMatch and Composition Consistence Training. CoRR abs/2002.06021 (2020)
2010 – 2019
- 2019
- [c9]Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu, Anyan Shi:
HODGEPODGE: Sound Event Detection Based on Ensemble of Semi-Supervised Learning Methods. DCASE 2019: 224-228 - [c8]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Shoji Hayakawa, Jiqing Han:
Furcax: End-to-end Monaural Speech Separation Based on Deep Gated (De)convolutional Neural Networks with Adversarial Example Training. ICASSP 2019: 6985-6989 - [c7]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han, Anyan Shi:
Deep Attention Gated Dilated Temporal Convolutional Networks with Intra-Parallel Convolutional Modules for End-to-End Monaural Speech Separation. INTERSPEECH 2019: 3183-3187 - [c6]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Shoji Hayakawa, Shouji Harada, Jiqing Han:
End-to-End Monaural Speech Separation with Multi-Scale Dynamic Weighted Gated Dilated Convolutional Pyramid Network. INTERSPEECH 2019: 4614-4618 - [i5]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han:
Is CQT more suitable for monaural speech separation than STFT? an empirical study. CoRR abs/1902.00631 (2019) - [i4]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han:
FurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation. CoRR abs/1902.00651 (2019) - [i3]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han:
FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks. CoRR abs/1902.04891 (2019) - [i2]Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu, Anyan Shi:
HODGEPODGE: Sound event detection based on ensemble of semi-supervised learning methods. CoRR abs/1907.07398 (2019) - 2018
- [c5]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu:
Double Joint Bayesian Modeling of DNN Local I-Vector for Text Dependent Speaker Verification with Random Digit Strings. INTERSPEECH 2018: 67-71 - [c4]Ziqiang Shi, Liu Liu, Huibin Lin, Rujie Liu:
Joint Learning of J-Vector Extractor and Joint Bayesian Model for Text Dependent Speaker Verification. INTERSPEECH 2018: 1076-1080 - [c3]Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu:
Latent Factor Analysis of Deep Bottleneck Features for Speaker Verification with Random Digit Strings. INTERSPEECH 2018: 1081-1085 - [c2]Ziqiang Shi, Mengjiao Wang, Liu Liu, Huibin Lin, Rujie Liu:
A Double Joint Bayesian Approach for J-Vector Based Text-dependent Speaker Verification. Odyssey 2018: 365-371 - 2017
- [i1]Ziqiang Shi, Mengjiao Wang, Liu Liu, Huibin Lin, Rujie Liu:
A Double Joint Bayesian Approach for J-Vector Based Text-dependent Speaker Verification. CoRR abs/1711.06434 (2017) - 2013
- [c1]Weihua Li, Zhidong Huang, Huibin Lin, Kang Ding:
Envelope analysis by wavelet-filter based spectral kurtosis for bearing health monitoring. I2MTC 2013: 1721-1724
Coauthor Index
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